Querying Log Data with Metric Temporal Logic
- Submitting institution
-
Birkbeck College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 196
- Type
- D - Journal article
- DOI
-
10.1613/jair.1.11229
- Title of journal
- Journal of Artificial Intelligence Research
- Article number
- -
- First page
- 829-877
- Volume
- 62
- Issue
- -
- ISSN
- 1076-9757
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2018
- URL
-
http://eprints.bbk.ac.uk/id/eprint/24605/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
3 - Knowledge Representation and Data Management
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper led to the award of EPSRC grant quantMD: Ontology-Based Management for Many-Dimensional Quantitative Data (EP/S032282), with Siemens as an industrial partner. The approach proposed in the paper is being implemented in the OBDA system Ontop by the start-up Ontopic, Italy (see "Ontology-based access to temporal data with Ontop: A framework proposal", Int. J. Appl. Math. Comput. Sci 2019).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -